# rawtoaces mit Homebrew installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für rawtoaces in AI-Agent-Workflows.

## Installation

```sh
sudo av install brew:rawtoaces
```

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install rawtoaces
```

  Evidenz: local Homebrew formula metadata

## Paketfakten

- **Paketschlüssel:** brew:rawtoaces
- **Paketmanager:** Homebrew
- **Version:** 2.2.0
- **Quellzusammenfassung:** Utility for converting camera RAW image files to ACES
- **Homepage:** <https://github.com/AcademySoftwareFoundation/rawtoaces>
- **Repository:** <https://github.com/AcademySoftwareFoundation/rawtoaces>
- **Zuletzt aktualisiert:** 2026-07-25T00:58:24Z
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- rawtoaces (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 2.2.0
## Projektgeschichte und Nutzung

RAW to ACES, invoked as rawtoaces, is an Academy Software Foundation utility and library for converting digital-camera RAW files into ACES container images. It transforms camera-native color data into the Academy Color Encoding System and writes output conforming to ACES image-container standards.

### Projektgeschichte

The official rawtoaces repository was created in 2016. The project was developed to provide a practical reference utility for moving camera RAW imagery into an ACES workflow, using LibRaw metadata or measured camera spectral sensitivities to derive an input transform.

The project later joined the Academy Software Foundation organization and developed into both a command-line utility and reusable libraries. Current upstream documentation covers source builds, a Python-facing API, multiple matrix and white-balance methods, and dedicated camera sensitivity data.

### Adoptionsgeschichte

RAW to ACES occupies a specialist role in digital-cinema and visual-effects color pipelines rather than broad consumer-image conversion. The supplied package metadata shows Homebrew distribution, while upstream provides source and Docker build instructions for macOS, Linux, Red Hat systems, and Windows.

### Wie es verwendet wird

Users pass one or more RAW files or directories to rawtoaces and select white-balance and color-matrix methods. The preferred spectral method uses known camera sensitivity and illuminant data; metadata and LibRaw-based methods provide practical fallbacks when measured data is unavailable.

The RAWTOACES_DATA_PATH environment variable changes where the utility searches for spectral sensitivity and illuminant data. This is a data search path, not a persistent user configuration or credential file.

### Warum Paket-Nerds sich dafür interessieren

For package maintainers, rawtoaces is a compact entry point into a demanding imaging dependency stack that includes OpenImageIO, LibRaw, Ceres, Eigen, lensfun, and ACES data. It packages standards-oriented color science as a scriptable conversion tool suitable for reproducible media pipelines.

### Zeitleiste

- 2016: The official rawtoaces GitHub repository was created.
- 2025: The official release feed published rawtoaces 2.0.0.
- 2026: The official release feed published rawtoaces 2.2.0.

### Related projects

- ACES is the Academy Color Encoding System targeted by rawtoaces output.
- LibRaw supplies camera RAW decoding and metadata, while OpenImageIO handles image input, output, and pixel operations.

### Quellen

- <https://github.com/AcademySoftwareFoundation/rawtoaces>
- <https://github.com/AcademySoftwareFoundation/rawtoaces/releases>
- <https://rawtoaces.readthedocs.io/en/latest/>
- source_facts.package-manager


## Sicherheitshinweise

Für rawtoaces wurde kein passendes lokales Secret-Handling-Manifest gefunden. Nucleus-Paketmetadaten bleiben hier veröffentlicht, damit künftige Abdeckung eine stabile Paket-URL hat.



## Combined YAML source

View the package source record on GitHub. [combined/rawtoaces.yml](https://github.com/mxcl/pkgdb/blob/main/combined/rawtoaces.yml)


## Quellen

- pkg.so package database
- curated package history
- cross-ecosystem install command graph
